Organizing for Generative AI and the Productivity Revolution
Apress (Verlag)
979-8-8688-0958-3 (ISBN)
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Written in a lively, engaging, and often humorous style, this work provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies. If you’re looking to understand how large language foundation models such as ChatGPT are reshaping managerial roles and organizational structures, and how they can leverage this knowledge to survive and thrive in this brave new world then Organizing for Generative AI and the Productivity Revolution is the book for you.
What You Will Learn
Review the key changes in current state roles and responsibilities that are required to successfully deploy generative AI systems
Examine the organizational reporting structures and associated incentives that form a strong generative AI system
Understand the financial, regulatory, and operational risks created by organizational behavioral issues that arise when organizations build and deploy large language models
Compare the strategic differences in emerging versus traditional organizational behaviors, incentives, roles and responsibilities
Who This Book Is For
Executives and team leaders at enterprises large and small.
Arthur J. O’Connor is the head of the MS in Data Science and BS in Information Systems degree programs at the City University of New York. He has over 20 years of experience as a senior corporate executive and IT management consultant. A graduate of the Newhouse School of Journalism at Syracuse University, he earned his MBA from Fordham University and his Doctorate of Professional Studies from the Lubin School of Business at Pace University.
Part 1: Yesterday, Today, and Tomorrow.- Chapter 1. The History and Potential Future of Human-Machine Collaboration.- Chapter 2. Data Governance: The Foundation for Generative AI.- Chapter 3. The Challenges to Corporate Governance.- Part 2: Organizational Transformation – Current and Future States.- Chapter 4. Lessons Learned.- Chapter 5. The Intelligent Organization of the Future.- Chapter 6. Leadership in the Intelligent Organization.- Part 3: What Regulators and Academics Are Saying.- Chapter 7. Regulation and Compliance.- Chapter 8. Views from the Ivory Tower.- Chapter 9. Preparing for the Next Big Thing.- Appendix A: Data Governance Best Practices.- Appendix B: 12 Pivotal IT Roles in Organizational Transformation.
Erscheinungsdatum | 13.11.2024 |
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Zusatzinfo | 5 Illustrations, black and white; XXIX, 282 p. 5 illus. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
ISBN-13 | 979-8-8688-0958-3 / 9798868809583 |
Zustand | Neuware |
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